COVID-19의 영향으로 빅 데이터 및 데이터 분석 시장 분석, 상위 기업, 동향, 수요, 미래 기회 전망 2020

빅 데이터 시장은 급성장하고 있습니다
“빅 데이터 및 데이터 분석, 국가 안보 및 법 집행 : 2017-2022 년 글로벌 시장”보고서는이 산업의 매출이 2015-2022 년 CAGR 17.5 %로 증가하여 2022 년까지 110 억 달러에이를 것으로 예측합니다. 빅 데이터 및 국토 안보, 국방, 공공 안전 조직 및 정보 기관의 데이터 분석이 증가하고 있습니다. 대부분 세계가 점점 디지털화되고 연결되고 있기 때문입니다. 이는 데이터 수집 및 저장뿐만 아니라 인텔리전스 처리, 악용, 전파 및 분석을위한 새로운 기회를 창출하고 있습니다. 빅 데이터 및 데이터 분석 기술은 범죄 및 테러와의 전쟁, 사이버 공격으로부터의 방어, 공공 안전 분석, 재난 및 대규모 사고 관리, 그리고 예측 능력의 개발. Osint Market, Sigint Market, 사이버 방어 활동, 재무 조사를 포함한 모든 인텔리전스 분야는 빅 데이터 성장의 혜택을받습니다.

최종 보고서는이 산업에 대한 COVID-19의 영향 분석을 다룹니다.

이 전략 보고서의 샘플 다운로드 :
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우리는 특히 중국과 서유럽 시장으로 인해 아시아 태평양 및 유럽의 국가 안보 및 법 집행 시장에서 빅 데이터 및 데이터 분석이 빠르게 성장할 것으로 예상합니다.

국토 안보 및 공공 안전 시장의 글로벌 빅 데이터 시장은 다음과 같은 동인에 의해 강화됩니다.

스마트 폰, 웨어러블 및 기타 스마트 연결 장치 (자동차, 기계, IoT 등)의 사용이 증가함에 따라 국토 안보 및 공공 안전 조직이 주로 Sigint에서 활용할 수있는 엄청난 양의 정보가 계속해서 생성 될 것입니다. 신호 지능) 관련 활동.

데이터 수집, 저장, 분석 및 시각화의 기술 발전을 통해 조직은 생성하는 데이터의 양을 늘리고 실시간 의사 결정을 지원하기 위해보다 실행 가능한 인텔리전스를 생성 할 수 있습니다.

Increased investment in data analysis and visualization capabilities by Homeland Security and Public Safety organizations, which act as a major catalyst for the implementation of big data and data analytics solutions.
The adoption of cloud technology by governmental agencies, which will also act as a stimulus towards analytics implementation. Given that most organizations do not have the in-house infrastructure to support big data analytics, several of them must turn to cloud solutions, which will make the use of data analytics easier.

The cost of data storage, which continues to decrease and encourage a move to the cloud.
The growing generation of data-aware and data professionals – HLS data scientists.
The rise of state-of-the-art attack technologies (e.g., cyber-warfare, encrypted communication, cyber-crime, chemical warfare agents, and GPS jammers) as well as other advanced techniques employed by terror organizations (such as, ISIS and state-sponsored terror groups) and other 21st century criminals, which make it harder for Homeland Security and Public Safety organizations to track them down. Big data and data analytics is one of the preferred ways to deal with this new reality.
Direct threats to country-level national security and public safety are on the rise and have evolved from large-scale nation-to-nation conflicts to more pinpointed and contained ones. These threats, such as terrorism, natural disasters, organized crime, proliferation of weapons of mass destruction, and cybercrime have changed the way nations are dealing with national security issues.

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The new security threats and risks to national safety will force Homeland Security and Public Safety organizations to adopt technologies that are better equipped to deal with advanced operations. These Intelligence systems generate massive amounts of data and may increase the big data market and data analytics market in Homeland Security and Public Safety.
Big Data & Data Analytics, Homeland Security & Public Safety: Global Market 2017-2022
Homeland Security & Public Safety Main Data Sources for Intelligence

A growing number of countries increase monitoring of citizen activities claiming enforcement of public order. Countries such as Russia, Turkey and China are expected to increase investments in big data gathering and intelligence gathering for internal security on vast amount of people. While civil liberties are under threat, Intelligence organizations budgets are on the rise not only in these countries, but also in other countries that were perceived as more liberal and face internal terror threats.

This market report, covering Homeland Security big data and data analytics, is a valuable resource for executives interested in Big Data Intelligence markets. It has been explicitly customized for potential investors, big data companies, Intelligence agencies as well as security and government decision makers, to enable them to benchmark business plans, as well as identify business opportunities, emerging technologies, market trends, and risks.

Questions answered in this market report include:

What will be the big data market size in Homeland Security and Public Safety in 2017-2022? What will the relevant trends be during that time?
Which submarkets in this field provide attractive business opportunities?
Which countries are expected to invest most in big data and data analytics capabilities within Homeland Security and Public Safety organizations?
Which distinctive data sources will be used by Homeland Security and Public Safety agencies and which technologies will be needed in order to exploit them?
Which market sectors are estimated to make greater use of Homeland Security big data and data analytics capabilities?
What are the big data and data analytics in Homeland Security and Public Safety market drivers and inhibitors?
The market analysis examines big data and data analytics spending in the Homeland Security and Public Safety market in terms of 5 key independent aspects: vertical markets, countries, technologies, technology subtypes, and data sources. Each aspect is analyzed thoroughly to better understand the market and the business opportunities it holds. These aspects and the corresponding analysis include:

19 national markets
9 vertical markets
3 technology markets
6 technology submarkets
9 distinctive data source markets
Big Data & Data Analytics, Homeland Security & Public Safety: Global Market 2017-2022
Big Data and Data Analytics in Homeland Security and Public Safety Market Organogram

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The homeland security big data market forecast report presents in 450 pages, 85 tables and 205 figures, analysis of 19 national, 9 vertical, 9 technological markets and 9 distinctive data sources. The report presents for each submarket 2015 data, 2016 estimate and projects the 2017-2022 big data market forecast and technologies.

Market data is analyzed via 5 key independent perspectives:
With a highly-fragmented market, we address the “money trail” – each dollar spent – via the following 5 orthogonal market segments:

By 19 National Big Data Markets:
USA
Canada
Germany
France
UK
Italy
Spain
Australia
India
China
South Korea
Japan
Brazil
Mexico
Colombia
GCC
South Africa
Kenya
Nigeria
By 9 Vertical Markets:
Government Intelligence Agencies
Law Enforcement and 1st Responders such as police intelligence
Defense/Military Intelligence
Financial Services Industry & Fraud Detection
Big Data Analytics in Cyber Security
Border Control & Customs
Mass Transportation (Air, Sea & Land)
Intelligence Fusion Centers
Critical Infrastructure Security
By 3 Technological Markets:
Big Data Hardware
Big Data Software
Big Data Services

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By 6 Technological submarkets:
Storage & Communications Equipment
Data Warehouses & Data Management
Analytics and Visualization Applications
Compute
SQL & NoSQL
Professional Services
By 9 Distinctive Data Sources:
Communications – Sigint (including GPS) – Big Data in Signal Intelligence market
Video
Cyber Security Related Data
OSINT Market – Open Source Intelligence (Social Media and Web)
Government DBs
Financial- Financial Intelligence
Geospatial
Customs/Border Sources
Vehicle Data – (Car Intelligence – Carint)
The Big Data in HLS Market report presents leading companies operating in the market by technology (profiles, products and contact information):

Storage and Data Warehouse – Teradata, Oracle, Microsoft, Dell, Cisco Systems, Hadoop Systems
Compute Amazon Web Services, Google Compute Engine
SQL and NoSQL – SAP, Redis Labs, MongoDB
Data Analytics – Palantir Intelligence, Splunk, IBM Watson Analytics, HP Enterprise, SAS, Hitachi Data Systems, BAE Systems, Actian, Raytheon
Data Visualization – Tableau Software, TIBCO Software, QlikView, MicroStrategy
Professional Services – Accenture, PwC, Deloitte

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